Empowering Cleantech Data Centers' Success

DCScan’s vertical agentic AI empowers data-center developers, engineers, and energy teams by replacing fragmented analyses with sustainability-driven, project-specific intelligence. It models clean-energy configurations, optimizes cooling and power flows, and anticipates grid-stress risks while incorporating cybersecurity standards. DCScan ensures every project is designed for efficiency, resilience, and regulatory readiness.

-25%

+100%

Grid Stress and Interruption Risk

Reduction in Design and Validation Time

-30%

+20%

Energy Efficiency Gain

Compliance with Green-AI requirements and best practices

Intelligent Deal-Flow Engine

Streamline data-center design workflow with AI-driven intelligence, from energy modeling and efficiency optimization to risk detection and compliance checks.

Resilience & Risk Protocols to Unleash Reward

DCScan’s predictive AI models anticipate grid stress, curtailment risk, and AI-load surges, enabling operators to prevent downtime and stress before it occurs.

Legal-by-Design Intelligence for Compliance Readiness

DCScan embeds AI-driven monitoring and reporting aligned with emerging Green AI and data-centre sustainability rules, ensuring continuous regulatory readiness.

Intelligence to Maximise Performance

DCScan enables Green AI as it sources clean energy, as well as optimises cooling, energy routing, and load distribution in real time, ensuring every data-centre watt is used intelligently and sustainably.

From Search to Success: ROI You Can Measure

Boost your ROI, starting now.

Vendor Platform

Forget inefficient methods like spreadsheets, email, and informal CRMs.

Modern Cleantech Procurement 2.0

Horizontal platforms and narrow vertical lists fail to provide the necessary automation.

We turn scattered spreadsheets and emails into structured, searchable profiles.

Deep Technical Intelligence

More than Operational Automation

Transforming infrastructure chaos into streamlined, automated workflows for teams.

Energy, Cooling & Power-Effectiveness

Tracks energy use, cooling efficiency, carbon intensity, PUE (Power Usage Effectiveness), and equipment utilisation in real time, turning fragmented signals into a unified layer of operational intelligence.

AI-Load, Throughput & Capacity Planning

Models GPU expansion and predicts its impact on throughput, latency, cooling demand, and power availability, using rapid “what-if” simulations to optimise future capacity and avoid bottlenecks.

Grid-Impact & Infrastructure Stability

Assesses how data-centre operations influence local grids, anticipates curtailment and stress scenarios, and evaluates infrastructure resilience to support site selection and continuous uptime.

Compliance, Sustainability & Reporting

Automates regulatory-ready dashboards covering energy KPIs, emissions, PUE, throughput-linked sustainability metrics, and “green-AI” disclosures aligned with the EU AI Act and other relevant reporting rules.

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Cut through Noise & Complexity

Stop Searching. Start Winning.

AI-enhanced telemetry transforms raw operational data into instant intelligence to select optimal energy, cooling, and infrastructure configurations.

DCScan’s predictive models uncover hidden failures, grid-stress triggers, and capacity bottlenecks before they escalate into costly disruptions.

Built-In regulatory compliance automatically captures the sustainability and performance metrics required, making every project audit-ready by design.

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